Triple

T15408625
Position Surface form Disambiguated ID Type / Status
Subject Teflon Don E368526 entity
Predicate hasPart P35 FINISHED
Object All the Money in the World E196185 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: All the Money in the World | Statement: [Teflon Don, hasPart, All the Money in the World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All the Money in the World
Context triple: [Teflon Don, hasPart, All the Money in the World]
  • A. All the Money in the World chosen
    All the Money in the World is a 2017 crime thriller film dramatizing the real-life 1973 kidnapping of John Paul Getty III and his billionaire grandfather’s notorious refusal to pay the ransom.
  • B. Woman in Gold
    Woman in Gold is a 2015 biographical drama film about Maria Altmann’s legal battle to reclaim Gustav Klimt’s famous painting from the Austrian government.
  • C. All Money In
    All Money In is an independent record label founded by rapper and entrepreneur Nipsey Hussle to release his music and support artists from his community.
  • D. Money Heist
    Money Heist is a Spanish crime drama television series that follows a criminal mastermind and his team as they execute meticulously planned, high-stakes heists.
  • E. Ocean's 8
    Ocean's 8 is a 2018 heist comedy film featuring an all-female ensemble cast who plan and execute a high-profile jewelry robbery at the Met Gala.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea4f13c819085d26fd32b5dca6f completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135bcb5c8190a1f43c6bb6a0e53c completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:20 a.m.